UnieAI Studio Documentation
Everything you need to build, deploy, and manage AI applications on UnieAI Studio.
Build production-ready AI applications with custom models, knowledge bases, and agentic workflows — all through an OpenAI-compatible API.
Platform Guide
Deploy custom models, build knowledge bases, and run agents behind an OpenAI-compatible API.
Data Hub & BI
Connect your databases, route queries to a fast warehouse, and explore data with Conversational BI.
Deploy & Compute
Install on-prem clusters and ship services from Git or Docker.
UnieAI Parser
Turn PDFs and scanned documents into clean, structured text ready for RAG.
Recommended reading order
Start with Getting Started to sign in, create a custom model, and obtain an API key.
Continue with Creating a Custom Model and System Prompt to define model behavior.
If the model needs private documents, read Knowledge Base Overview and Uploading Documents.
For tools and multi-step work, see Skills System and Agent Pipeline.
Before production, review Analytics, Guardrails, and Billing.
Find documentation by goal
| Goal | Start here |
|---|---|
| Build an assistant that uses company data, end to end | Quick Start: Build an Assistant That Uses Your Data |
| Create a key, set quotas, read API logs | Quick Start: Connect the API to Your System |
| Onboard a server and run the first app on it | Quick Start: From One Server to Your First App |
| Create the first AI model | Getting Started |
| Let AI use company documents | Knowledge Base Overview |
| Add Skills, MCP, or Web Search | Skills System |
| Collect feedback about responses | Feedback API |
| Inspect cost, TTFT, throughput, and request logs | Analytics |
| Manage roles, invitations, gift codes, and quotas | Account Roles |
| Integrate a model through code | API Compatibility |